phi3_7epochs / README.md
Surabhi-K's picture
Upload 5 files
ca7f6a6 verified
metadata
license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
  - name: trainer
    results: []

trainer

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.3826
  • eval_runtime: 19.8497
  • eval_samples_per_second: 1.31
  • eval_steps_per_second: 0.655
  • epoch: 7.0
  • step: 826

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2